To introduce participants to a problem-driven approach to assembling, analyzing, and taking action on data. With the Problem-Plan-Data-Analysis-Conclusions (PPDAC) Cycle and Gartner’s Analytics Maturity Model (Descriptive → Diagnostic → Predictive → Prescriptive Analytics) as frameworks, fundamental concepts for the analysis of data will be covered, including descriptive statistics, visualizations, probability and distributions, confidence intervals, hypothesis testing, and regression analysis/predictive analytics. Knowledge of the “whys” behind these tools facilitates rigorous data-driven decision-making.
The learning objectives of this course are:
- To understand and execute the process of decision-making based on data;
- To assemble, summarize, visualize, and analyze data arising in decision making; and,
- To conceptualize and interpret models for diagnostic, predictive, and prescriptive analytics.
- Course material, organized by session, on Canvas → Modules (https://canvas.gatech.edu).
- R, RStudio, and Radiant (open source). Please carefully follow the text and video instructions for installation at: https://radiant-rstats.github.io/docs/install.html
- The Art of Statistics: How to Learn from Data by Sir David Spiegelhalter (ISBN-13: 978-1541675704; ISBN-10: 1541675703). https://www.amazon.com/dp/1541675703
Class attendance will not be monitored or graded. Students in the online section may also attend the in-person section.
Students are expected to act and must also expect their peers to act according to the highest ethical standards, as outlined in the honor code at http://www.policylibrary.gatech.edu/student-affairs/academic-honor-code.
- You are not allowed to seek or receive previous class material (including class notes, readings, quizzes, exams, class recordings, etc.).
- While collaboration is allowed for the Quizzes (submissions are individual), simply pasting questions into LLMs or copying/giving away answers is not allowed.
- Note that collaboration is not allowed for the Personal Reflection and the Final Exam.
- Sharing/posting or offering to share/post any course material or recordings (except sharing your class notes with your classmates) – whether during or after the end of the course – will violate the honor code and is not allowed.